1995 International Conference on Image Processing (ICIP'95) - Volume 2
Improved decoding of compressed images received over noisy channels
Washington D.C.
October 23-October 26
ISBN: 0-8186-7310-9
This paper presents an image communication system with improved decoding of compressed image information. A convolutional code protects the compressed image information from channel noise while a Reed-Solomon outer code gives additional protection to the critical image header information. A post-processor detects uncorrected channel errors in the reconstructed image and feeds error location information to a list-based iterative trellis decoder. This list-based decoder provides significant improvement in image quality. Experimental results are given for varying channel SNR and for varying bit rate.
Index Terms:
decoding; data compression; image coding; convolutional codes; Reed-Solomon codes; image reconstruction; iterative methods; trellis codes; interference suppression; visual communication; error detection codes; decoding; compressed images; noisy channels; image communication system; convolutional code; channel noise; Reed-Solomon outer code; image header information; post-processor; channel errors; reconstructed image; error location information; list-based iterative trellis decoder; image quality; SNR; bit rate
Citation:
T.P. O'Rourke, R.L. Stevenson, Yih-Fang Huang, D.J. Costello, Jr., "Improved decoding of compressed images received over noisy channels," icip, vol. 2, pp.2065, 1995 International Conference on Image Processing (ICIP'95) - Volume 2, 1995